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What we offer:Job Responsibilities:
Job title:
Engineer Gen AI
Job Introduction:
Magna’s powertrain group is an operating unit of Magna International and a long-term premier supplier for the global automotive industry with full capabilities in game-changing powertrain design, development, testing and manufacturing.
As one of the world’s largest suppliers of powertrain solutions for passenger cars and light commercial vehicles, we have a unique market position. As a GenAI Engineer in Magna Powertrain, you will be at the forefront of integrating generative AI technologies into our product development workflows. You are working in a global Gen-AI project team with members in India, EU and North America. You’ll collaborate with cross-functional teams to develop intelligent tools, automate engineering tasks, and accelerate innovation in powertrain design and validation.
Major Responsibilities:
- You will collaborate with stakeholders to clarify the objectives of each AI use case and create detailed user stories
- You will develop a functional architecture, select appropriate prompting techniques or agent frameworks, implement the solution, and establish a testing pipeline using ground truth data for evaluation.
- You will document the process and regularly present project progress to ensure transparency and alignment with stakeholders.
Skills and competencies:
Preferred Qualifications
- Proficiency in Databricks, cloud computing, and the Azure environment
- Proficiency with libraries such as LangChain and OpenAI
- Experience with Model Context Protocol (MCP) and Multi-Agent Framkeworks
- Experience with open-source LLMs (e.g., Llama) and training smaller models
- Product or project management experience
Bonus Qualifications
- Knowledge of Azure Power Apps and Web Apps
- Experience in requirements management and test case development according to Automotive SPICE
Educational Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- Professional experience in AI/GenAI and LLM implementation using Python Libraries
- Hands-on experiences in prompt engineering techniques (Few-Shot, Chain of Thought prompting, RAG), embeddings, and similarity search)
- Machine Learning and Natural Language Processing (NLP)
Work experience:
3 to 5 years of professional experience working in the relevant field.
Health, Safety & Environment (HSE):
Maintains safe work practices, complies with Magna H&S requirements, and participates in training and hazard reporting.
Awareness, Unity, Empowerment:At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Group:
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- Professional experience in AI or generative AI and LLM implementation using Python libraries
- Hands-on experience with prompt engineering techniques, including few-shot prompting, chain-of-thought prompting, and retrieval-augmented generation
- Experience with embeddings and similarity search
- Knowledge of machine learning and natural language processing
- 3 to 5 years of professional experience in a relevant field
- Proficiency in Databricks, cloud computing, and the Azure environment
- Proficiency with LangChain and OpenAI libraries
- Experience with Model Context Protocol and multi-agent frameworks
- Experience with open-source large language models such as Llama and training smaller models
- Product or project management experience
- Knowledge of Azure Power Apps and Web Apps
- Experience in requirements management and test case development according to Automotive SPICE
What the Team is Saying
Magna International Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, vision, prescription, disability, and life insurance are widely offered, and feedback suggests the core medical coverage and provider access are strong with solid plan options. These elements are consistently cited as a standout of the overall package.
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Retirement Support — A 401(k) with company matching and, in some cases, profit sharing are described as part of the U.S. offering. Feedback suggests these programs add meaningful long‑term value to total compensation.
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Strong & Reliable Incentives — Performance bonuses, quarterly bonus checks, and profit‑sharing programs are frequently referenced across locations. Feedback suggests these incentives can materially boost overall earnings when available.
Magna International Insights
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
